Personalized Alarming System for Asthma Management Based on Lung Functionality: Observational Study

Fatima Alblooshi, Reem Albadi, Khawla Alblooshi, Emma Ishimirwe, Yvettte Uwisoneye, Fady Alnajjar, Dua'a Mehiar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Asthma is a chronic respiratory disease that can be challenging to manage. To improve asthma management, we designed a personalized alarm system that utilizes lung function data to monitor and alert individuals to potentially harmful air quality. Our pilot observation included seven individuals who were exposed to two different air-quality environments, and we observed significant variations in their lung function responses. Based on these observations, we developed customized alarm systems for each participant that continuously monitored air quality and provided notifications when it reached levels that could potentially exacerbate their asthma symptoms. This personalized approach has the potential to enable individuals to proactively protect their respiratory health and avoid asthma attacks by taking timely and appropriate action based on their own specific needs.

Original languageEnglish
Title of host publication2023 Advances in Science and Engineering Technology International Conferences, ASET 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665454742
DOIs
Publication statusPublished - 2023
Externally publishedYes
Event2023 Advances in Science and Engineering Technology International Conferences, ASET 2023 - Dubai, United Arab Emirates
Duration: Feb 20 2023Feb 23 2023

Publication series

Name2023 Advances in Science and Engineering Technology International Conferences, ASET 2023

Conference

Conference2023 Advances in Science and Engineering Technology International Conferences, ASET 2023
Country/TerritoryUnited Arab Emirates
CityDubai
Period2/20/232/23/23

Keywords

  • Alarm-System
  • Asthma
  • Lung-Functionality
  • Personalized
  • Respiratory Health

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Biomedical Engineering
  • Control and Optimization
  • Artificial Intelligence
  • Computer Science Applications
  • Decision Sciences (miscellaneous)
  • Fuel Technology

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